Scientist / Sr. Scientist – NGS

Genome Life Sciences Private Limited

Scientist / Sr. Scientist – NGS

About Company Genome Life Sciences (GLS) is  the India R&D centre of Genome International Corporation and is one of the handful of companies having in-house R&D recognition from DSIR-Ministry of Science and Technology. Genome Life Sciences (GLS) was established in 2004 with the vision of developing innovative Bioinformatics algorithms, tools, and databases for biomarker discovery in the areas of healthcare, veterinary, agriculture, food and related industries.
The company provides life science databases of unique content developed with data mining algorithms along with their interactive and dynamic user interfaces. In addition, it provides data analysis products/services for the analysis of Next Generation Sequencing (NGS) data generated from all major platforms such as Illumina GA/HiSeq, ABI SOLiD, and Roche 454. For more details please visit our website: www.genome.com and www.genomels.com

Job Description

Responsibilities

• Perform analyses on Next-Gen sequencing data including data derived in ChIP-Seq, RNA-Seq, miRNA-Seq and other experimental models to a customer base including leading pharmaceutical, biotech and academic institutions worldwide.
• Define and implement quality control procedures at both technological and biological levels to ensure quality of extreme high volume of next-generation sequencing data.
• Develop cutting-edge algorithms, pipelines, and applications to analyze data from our external clients. He or she will work closely with our software development team to serve as domain expert with in the team.
• Develop and apply algorithms and statistical models to analyze and interpret next-generation sequencing data. 
• Implement robust and automated pipelines and tools to support large scale bioinformatics analysis.
• Perform analysis and interpretation on data from genomic platforms including expression, exon, tiling, promoter and others primary, secondary and tertiary data analysis as per client's requirement.
• Perform data analysis and interpretation on other large data types in genomic context.
• Develop bioinformatics analysis processes in collaboration with colleagues within the lab as well as with the multidisciplinary teams.
• Manage work flows including experimental design, analyses of data quality, genome and meta-genome integration and others.
• Write utility scripts, macros and/or custom programs or algorithms in support of biological discovery.
• Coordinate with biologists and/or other bioinformaticians in the design of models summarizing/explaining experimental data; provide interpretive analyses of data derived from different experimental platforms to generate biological meaningful data set.
• Prepare and present reports on experimental data to clients.
• Proactively monitor technological developments and new genomic applications.

Desired Experience and Knowledge

• Minimum four years Post Doc experience in the field of bioinformatics and/or functional genomics.
• Demonstrated experience working in a high performance computing environment.
• Demonstrated programming expertise in one or more object-oriented languages and scripting languages such as PERL or Python.
• Demonstrated experience working with statistical/mathematical packages such as R/MATLAB or equivalent and the ability to relate the findings to biologists.
• Demonstrated experience working with large biological data.
• Demonstrated fluency working with Windows, Macintosh and/or UNIX/Linux environment.
• Demonstrated experience extracting and describing complex high dimensional data and presenting those data in a biologically meaningful context.
• Demonstrated experience extracting and describing complex high dimensional data and presenting those data in a biologically meaningful context.
• Must have a strong publication record.
• Should have experience in NGS software analysis packages.

Skills

• Strong analytical and troubleshooting skills and ability to innovate.
• Flexible and willing to work across multiple projects and technology in a rapidly evolving scientific context.
• Excellent communication skills.
• Interested to work with a multi-disciplinary team combining genomics and computational approaches with experimental biology.
• Ability to work in a Matrix Leadership environment.
• Ability to work independently and in a team environment.
• Multi-tasking abilities; able to work on several projects at once, in a fast-paced challenging and dynamic environment.

     Desired Candidate Profile

• Self-starter and proactive.
• Highly motivated, career-oriented and hard-working.
• Willing to accept additional responsibilities as assigned by the Company.
• Should be interested to work with a multi-disciplinary team combining genomics and computational approaches with experimental biology.
• Demonstrates positive enthusiasm and commitment.

     Education

Ph.D. or equivalent graduate degree in bioinformatics, biostatistics, computational biology or a biological/life science-related field. (Three years of specialized experience plus a Master’s degree is equivalent to a Ph.D.)

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